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  2. Inverse Problems in Imaging Yury Korolev Last updated on: ...

    www.damtp.cam.ac.uk/research/cia/files/teaching/Inverse_Problems_Michaelmas_2018/lecture_notes_current.pdf
    16 Jul 2019: the error in the reconstruction is then ‖uuδ‖ = ‖(20.01, 20)>‖ 20. ... Remark 1.1.7 ([20, p. 38]). It can be shown that the Radon transform is linear andcontinuous, i.e.
  3. Bayesian Inverse ProblemsLecture notes, Lent term 2019 University of…

    www.damtp.cam.ac.uk/research/cia/files/teaching/Inverse_Problems_Lent_2018/19y_01m_16d_LectureNotes.pdf
    6 Nov 2019: 1 [uθumθm. ]). Theorem 1.20. Assume that u : Rd and η : Rk are mutually independentGaussian random variables. ... Lemma 1.21. Assume that u,η,m are as in Theorem 1.20. We then have.
  4. Inverse Problems Matthias J. Ehrhardt and Lukas F. Lang ...

    www.damtp.cam.ac.uk/research/cia/files/teaching/Inverse_Problems_Lent_2018/lecture_notes_20180313.pdf
    16 Jul 2019: The solution uδ. to Kuδ = fδ is then uδ = (19.01, 20)>.Let us reflect on the amplification of the measurement error.

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